research/gam/gam/experiments/run_train_gam.py [328:347]:
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  model_name = FLAGS.model_cls
  model_name += ('_' + FLAGS.hidden_cls) if FLAGS.model_cls == 'mlp' else ''
  model_name += '-' + FLAGS.model_agr
  model_name += ('_' + FLAGS.hidden_agr) if FLAGS.model_agr == 'mlp' else ''
  model_name += '-aggr_' + FLAGS.aggregation_agr_inputs
  model_name += ('_' + FLAGS.hidden_aggreg) if FLAGS.hidden_aggreg else ''
  model_name += (
      '-add_%d-conf_%.2f-iterCls_%d-iterAgr_%d-batchCls_%d' %
      (FLAGS.num_samples_to_label, FLAGS.min_confidence_new_label,
       FLAGS.max_num_iter_cls, FLAGS.max_num_iter_agr, FLAGS.batch_size_cls))
  model_name += (('-wdecayCls_%.4f' %
                  FLAGS.weight_decay_cls) if FLAGS.weight_decay_cls else '')
  model_name += (('-wdecayAgr_%.4f' %
                  FLAGS.weight_decay_agr) if FLAGS.weight_decay_agr else '')
  model_name += '-LL_%s_LU_%s_UU_%s' % (str(
      FLAGS.reg_weight_ll), str(FLAGS.reg_weight_lu), str(FLAGS.reg_weight_uu))
  model_name += '-perfAgr' if FLAGS.use_perfect_agreement else ''
  model_name += '-perfCls' if FLAGS.use_perfect_classifier else ''
  model_name += '-keepProp' if FLAGS.keep_label_proportions else ''
  model_name += '-PenNegAgr' if FLAGS.penalize_neg_agr else ''
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research/gam/gam/experiments/run_train_gam_graph.py [295:314]:
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  model_name = FLAGS.model_cls
  model_name += ('_' + FLAGS.hidden_cls) if FLAGS.model_cls == 'mlp' else ''
  model_name += '-' + FLAGS.model_agr
  model_name += ('_' + FLAGS.hidden_agr) if FLAGS.model_agr == 'mlp' else ''
  model_name += '-aggr_' + FLAGS.aggregation_agr_inputs
  model_name += ('_' + FLAGS.hidden_aggreg) if FLAGS.hidden_aggreg else ''
  model_name += (
      '-add_%d-conf_%.2f-iterCls_%d-iterAgr_%d-batchCls_%d' %
      (FLAGS.num_samples_to_label, FLAGS.min_confidence_new_label,
       FLAGS.max_num_iter_cls, FLAGS.max_num_iter_agr, FLAGS.batch_size_cls))
  model_name += (('-wdecayCls_%.4f' %
                  FLAGS.weight_decay_cls) if FLAGS.weight_decay_cls else '')
  model_name += (('-wdecayAgr_%.4f' %
                  FLAGS.weight_decay_agr) if FLAGS.weight_decay_agr else '')
  model_name += '-LL_%s_LU_%s_UU_%s' % (str(
      FLAGS.reg_weight_ll), str(FLAGS.reg_weight_lu), str(FLAGS.reg_weight_uu))
  model_name += '-perfAgr' if FLAGS.use_perfect_agreement else ''
  model_name += '-perfCls' if FLAGS.use_perfect_classifier else ''
  model_name += '-keepProp' if FLAGS.keep_label_proportions else ''
  model_name += '-PenNegAgr' if FLAGS.penalize_neg_agr else ''
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